Civitai MCP Server (Python FastMCP)

A Python FastMCP implementation of an MCP server for interacting with the Civitai API. Browse AI models, images, creators, and more.

Features

• Model Search: Search AI models with various filters

• Model Details: Get detailed information about specific models

• Image Browsing: Browse AI-generated images

• Creator Search: Search for model creators

• Tag Search: Search models by tags

• Popular/Latest/Top Rated: Get ranking information

Installation

1. Install dependencies:

2. Set up environment variables (optional):

Usage

Standalone Execution

Deploy your MCP server to Amazon Bedrock AgentCore

Deploy using Amazon Bedrock AgentCore starter toolkit

MCP Configuration

Add the following to your Kiro configuration file (.kiro/settings/mcp.json):

Available Tools

Model-related

• search_models: Search models with query, type, sort filters

• get_model: Get detailed model information by ID

• get_model_version: Get model version details

• get_model_version_by_hash: Get model version by file hash

• get_popular_models: Get popular models

• get_latest_models: Get newest models

• get_top_rated_models: Get highest rated models

• search_models_by_tag: Search models by tag

• search_models_by_creator: Search models by creator

• get_models_by_type: Filter models by type

• get_download_url: Get download URL

Other

• browse_images: Browse images

• get_creators: Search creators

• get_tags: Search tags

API Key

A Civitai API key is not required but recommended for:

• Access to private models

• Higher rate limits

• Some advanced features

You can get an API key from your Civitai account settings.

Examples

Notes

• API responses can be large

• Use NSFW filtering options appropriately

• Store API keys securely using environment variables